查询词典 neural network

I have previously written a study of the neural network function approximation and classification of examples, business class.

详细说明：我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。

Then the BP neural network trained by this algorithm is applied into function approximation.

并将算法训练后的BP神经网络运用到函数逼近中去。

BP neural network function approximation of the source!

BP神经网络函数逼近的源程序！

In the end, wavelet neural network after being trained is used to approximation of function to performance good

本文提出的遗传算法利用分级染色体对小波神经网络的结构和权值进行编码，遗传算法联合进化规则来构建和训练小波神经网络，同时对网络进行进化。

It is a program of bp neural network algorithm ,its function is simulating approximation of a function.

详细说明： bp神经网络算法程序，仿真逼近一个函数，内含详细注解，适合初学者。

A decentralized control law is proposed which combines the approximation method of neural network with sliding mode control.

针对一类具有未知界扰动和子系统部分已知的非线性大系统，结合神经网络逼近方法、滑模控制研究了一种新的分散鲁棒自适应控制方法。

And then, the GFNN (generalized fuzzy neural network) is put forwand, the GFNN approximation theorem is proved.

从非线性系统本身的物理背景出发，根据系统本身的内在特性、先验知识和经验建立系统辨识模型，提出了广义模糊神经网络。

Thanks to robust nonlinear approximate function and computational cost, a feed-forward neural network as optimal approximator is employed.

考虑算法的非线性逼近能力和计算速度，采用了神经网络作为优化求解器。

The characteristics of B|spline basis function is first discussed, based on which B|spline neural network is proved to be a universal approximator.

1引言对于一个给定的非线性函数，我们都知道用神经网络可以以任意的精度来逼近它，原因就是神经网络是全局逼近器［1］。

After associating with the fuzzy neural network approximator and performance, the controller performs as well as the sliding mode controller and meanwhile smooth the control actions.

在引入模糊类神经网路近似器及概念后维持了系统的强健性及改善了系统控制输入的切跳现象。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。